Financial Forecasting and Analytics
( 25 Modules )

Module #1
Introduction to Financial Forecasting and Analytics
Overview of financial forecasting and analytics, importance in business decision-making, and course objectives

Module #2
Financial Statement Analysis
Review of financial statements, ratio analysis, and financial performance metrics

Module #3
Time Series Analysis
Introduction to time series analysis, components of time series data, and trends in financial data

Module #4
Exponential Smoothing (ES) Methods
Simple Exponential Smoothing (SES), Holts Method, and Holt-Winters Method for forecasting

Module #5
ARIMA Modeling
Autoregressive (AR), Moving Average (MA), and Autoregressive Integrated Moving Average (ARIMA) models

Module #6
Vector Autoregression (VAR) Modeling
Introduction to VAR models, estimation, and forecasting

Module #7
Regression Analysis
Simple and Multiple Regression, hypothesis testing, and model evaluation

Module #8
Econometric Models
Introduction to econometric models, simultaneous equations, and instrumental variables

Module #9
Forecasting with Machine Learning
Introduction to machine learning for forecasting, neural networks, and support vector machines

Module #10
Big Data and Financial Analytics
Introduction to big data, data mining, and data visualization in finance

Module #11
Financial Data Sources and Collection
Overview of financial data sources, data collection methods, and data preprocessing

Module #12
Data Visualization for Financial Analysis
Introduction to data visualization, charts, and dashboards for financial analysis

Module #13
Financial Ratio Analysis
Liquidity, profitability, efficiency, and solvency ratios, and their applications

Module #14
DuPont Analysis
Decomposition of ROE, asset utilization, and financial leverage

Module #15
Cash Flow Forecasting
Importance of cash flow forecasting, and methods for predicting cash flows

Module #16
Scenario Analysis and Sensitivity Analysis
Scenario analysis, sensitivity analysis, and Monte Carlo simulations for risk analysis

Module #17
Real Options Analysis
Introduction to real options, Black-Scholes model, and applications in finance

Module #18
Financial Planning and Budgeting
Financial planning, budgeting, and forecasting for businesses and individuals

Module #19
Mergers and Acquisitions Analysis
Financial analysis of M&A deals, valuation methods, and deal structuring

Module #20
Financial Modeling Best Practices
Best practices for building financial models, model validation, and auditing

Module #21
Excel Skills for Financial Modeling
Advanced Excel skills for financial modeling, including formulas, functions, and charts

Module #22
Python for Financial Analytics
Introduction to Python for financial analytics, including pandas, NumPy, and Matplotlib

Module #23
R for Financial Analytics
Introduction to R for financial analytics, including data visualization and modeling

Module #24
Tableau for Data Visualization
Introduction to Tableau for data visualization, including dashboards and storytelling

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Financial Forecasting and Analytics career

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Financial Forecasting and Analytics ( 25 Modules )

Financial Forecasting and Analytics
( 25 Modules )